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On permutation-invariant neural networks
From these observations, we show that Deep Sets, one of the well-known permutation-invariant neural networks, can be generalized in the sense of a quasi-arithmetic mean.
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning
In this study, we propose a technology called the Fashion Intelligence System based on the visual-semantic embedding (VSE) model to quantify abstract and complex expressions unique to fashion, such as ''casual,'' ''adult-casual,'' and ''office-casual,'' and to support users' understanding of fashion.
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding
Several techniques to map various types of components, such as words, attributes, and images, into the embedded space have been studied.
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